Fine mapping in 94 inbred mouse strains using a high-density haplotype resource.

Area of Science:

• Genetics
• Genomics
• Bioinformatics

Background:

• Inbred mouse strains are crucial for medical research, but a comprehensive genetic variation map is needed for advanced techniques like positional cloning.
• Previous studies resequenced a limited number of strains, highlighting the necessity for a high-density map covering a larger set of commonly used inbred strains.

Purpose of the Study:

• To generate a high-density genotype dataset for 94 inbred mouse strains.
• To create a comprehensive variation map enabling advanced genetic analyses and facilitating the study of complex traits.

Main Methods:

• Genotyping of 94 inbred mouse strains across 121,433 single nucleotide polymorphisms (SNPs) at 20-kb intervals.
• Pairwise strain comparisons to assess genetic diversity.
• Imputation of missing genotypes using a large SNP dataset (Perlegen SNPs) and gap-filling SNPs.
• Demonstration of utility through high-resolution linkage mapping simulations and in silico association mapping.

Main Results:

• A dense genotype dataset of 10.77 million genotypes over 121,433 SNPs was generated with high concordance (99.94%) to existing SNP sets.
• Pairwise comparisons revealed limited genetic diversity among classical inbred strains.
• Imputation of missing genotypes achieved high accuracy (99.7%) for high-confidence calls.
• The resource facilitates high-resolution linkage and in silico association mapping for complex traits.

Conclusions:

• The generated high-density genotype map of 94 inbred mouse strains is a valuable resource for genetic research.
• This dataset will significantly aid in dissecting the genetic basis of complex traits in both mouse models and humans.
• The findings provide guidelines for future genetic studies utilizing these resources.